This blog offers a practical playbook for sportsbook marketers to sustain engagement during the NFL season by cross-selling into other sports and casino, leveraging CRM, and orchestrating campaigns at scale.
The start of the NFL season drives huge acquisition spikes and fan excitement. But by mid-season, the challenge becomes retention. Bettors start to churn, engagement wanes, and operators risk losing share of wallet to competitors or to other forms of entertainment.
Mid-season is not a lull—it’s an opportunity. The operators who understand how to personalize offers, prioritize campaigns, and cross-sell effectively will win market share, extend lifetime value, and avoid the mid-season slump.
Key Takeaways:
Mid-October is the cross-sell inflection point: NFL, MLB Playoffs, NBA, NHL, and college basketball overlap, creating a natural window to expand bettor activity into multiple sports.
Orchestration and incrementality testing are essential: Without orchestration bettors may get 4–5 campaigns in a day, creating fatigue. Test vs. control methods show which campaigns drive true uplift.
Casino cross-sell boosts retention: AI can identify which casino experience an NFL bettor is most likely to try first, helping sportsbooks grow share of wallet beyond sports while reducing wasted promotions.
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The Mid-Season Challenge
Week 1 is a holiday for sportsbooks. Acquisition spikes, reactivations return, and engagement is electric. By mid-season, that initial momentum often fades. Some bettors drop off until the playoffs. Others reduce activity. The real opportunity is to turn the mid-season lull into mid-season growth by using NFL engagement as the anchor and cross-selling into other sports and casino where intent already exists.
This is where smarter orchestration, targeted personalization, and test-and-learn decisioning become decisive advantages.
Why Cross-Selling Works in Mid-Season
The NFL season does not exist in isolation. By October and November, bettors have multiple sports to choose from. MLB Playoffs are in full swing. The NBA and College Basketball tip off. The NHL returns. Casino remains a steady engagement driver, especially during off days and between games. Operators who use NFL activity to deepen engagement across verticals outperform those who ride a single-season wave.
As our VP of Customer Success, Americas Sam Zerfoss noted on The Gambling Files podcast, the U.S. market is maturing. Operators are getting smarter about how they use AI decisioning, testing frameworks, and personalization to keep “fickle fans” engaged. Instead of over-relying on blunt promotions that drive short-term spikes, the leaders are orchestrating the right offers to the right bettors at the right time, across channels, sports, and products.
Tune into The Gambling Files podcast, featuring Sam, to hear more:
Our Director of U.S. Sales Jeff Laniado adds that sportsbooks are largely commoditized from a bettor’s perspective. If a bettor wants to wager on a game tonight, they often have multiple apps to choose from with similar odds. Differentiation comes from two places: superior product and user experience, and smarter CRM powered by segmentation, orchestration, and targeted offers. As an example, Jeff cited a major sportsbook operator crediting a 37% increase in handle per active user to smarter segmentation and more surgical promo targeting. That is the kind of uplift operators can unlock by focusing on CRM as a core growth lever, not just a support function.
Sam breaks personalization into four practical layers that top operators use now. Jeff reinforces that these layers are the difference between generic mass offers and measurable uplift.
Segmentation: Group bettors by behaviors and propensities such as NFL-only bettors, parlay-driven bettors, or multi-sport bettors. Identify high-propensity cohorts likely to convert on the next-best action
Campaign selection: Choose the right top-line narrative for each cohort. For example, when to push NBA tip-off vs. MLB Playoffs vs. casino tie-ins for NFL cohorts
Channel and offer selection: Deliver on the bettor’s preferred channel and with the right bonus type and depth. Not everyone needs the most generous bonus. AI decisioning can match the right offer type (free bets, deposit match, no-deposit, odds boost) to each bettor to maximize uplift and minimize waste
Last-mile content: Tailor copy and creative to the person. Align imagery to team affinity when appropriate, but Jeff cautions against blindly pushing favorite-team bets. Many fans avoid betting on their own team or hedge in the opposite direction. Behavior often reveals different preferences than fandom alone
2. Orchestrate, do not flood
Mid-season is when overlapping eligibility explodes. A single bettor might qualify for multiple offers based on balance, parlay results, team affinity, tenure, recency, or tier thresholds. Without orchestration, operators risk sending four or five campaigns to the same person in a day and creating fatigue.
Orchestration uses AI decisioning to prioritize the campaigns that create the highest incremental impact. Jeff emphasized that moving from static segmentation to orchestrated delivery is how operators create the kind of per-user gains cited above. It is the difference between sending everything and sending the right thing.
3. Test, measure, and manage fatigue with incrementality
To know whether a campaign engages or annoys, Jeff recommends rigorous test vs. control measurement. Hold out a statistically valid control group, then measure true incrementality on the right KPI. Sometimes you will see uplift in NGR but not in GGR. Other times deposit frequency rises but average deposit declines. Pick the metric that matters for each campaign and let the data show where the line is between helpful and intrusive.
Jeff also recommends monitoring message frequency by player. Different players have different thresholds and different channel preferences. Some tolerate two emails a day. Others do better with mobile push and in-app messaging. Use data to tune frequency and channel mix to reduce fatigue while increasing conversion.
4. Use the mid-October window as a cross-sell inflection point
Sam highlighted a key moment in the calendar. Mid-October is a natural cross-sell inflection point because of overlapping seasons:
MLB Playoffs
NBA and College Basketball tip-off
NHL returns
Use this window to test which adjacent sports each NFL bettor is most likely to engage with next. Run experiments at scale to identify the best path for each bettor, then deepen engagement over time with tailored offers.
5. Cross-sell into casino with machine learning
Casino is the year-round cross-sell engine, but it must be introduced intelligently. AI can predict which casino experience each bettor is most likely to try first, rather than blasting a generic blackjack offer. Jeff points out that doing this manually is not feasible at scale. Machine learning makes it targeted and efficient, especially when the operator wants to introduce casino to NFL bettors during non-game windows.
6. Meet bettors where they are: mobile
Mobile is the primary device for betting. In Optimove research discussed on the podcast, 76% of bettors prefer to place bets on mobile. This should shape timing and channel strategy:
Time mobile pushes closer to kickoff for mobile-first bettors.
Shift toward email or web for bettors who typically wager on desktop.
Use geo-targeting to trigger timely messages when a bettor enters a stadium or a sports bar. If a bettor walks into MetLife Stadium on a Sunday, that is a timely moment to trigger a relevant push.
Knowing who prefers which platform reduces noise and increases conversion, especially in mid-season when attention is fragmented across sports.
Positionless Marketing: The Advantage in Mid-Season
Executing mid-season cross-sell across verticals, channels, offers, and creative at scale requires teams that can move without friction. This is where Positionless Marketing provides a structural advantage. It empowers every marketer to act independently across the full lifecycle so they can move from insight to execution in real time:
Data Power to identify the right cross-sell segments and moments
Creative Power to generate channel-ready assets tailored to the sport and bettor
Optimization Power to orchestrate and self-optimize campaigns across channel and cohort
This is how operators keep pace with bettors through the middle of the season when execution speed and decision quality matter more than headline offers.
The Guide to Re-Engaging Lapsed Customers
Identify at-risk and lapsed customers and bring them back with this guide.
While blunt promotional strategies might drive short-term activity, the sophisticated approach outlined here delivers compounding returns. Operators implementing AI-driven orchestration and cross-selling typically see:
Higher lifetime value through expanded product engagement
Improved retention rates by maintaining year-round touchpoints
Better promotional efficiency through targeted rather than mass offers
Reduced acquisition costs by maximizing existing player value
The example of 37% handle increase per active user demonstrates the scale of opportunity available to operators who prioritize intelligent CRM over volume-based marketing.
In Summary
The middle of the NFL season is not a slump. It is a cross-sell moment. Operators who combine AI decisioning, segmentation, orchestration, experiment-led measurement, and creative incentives will sustain engagement and expand player value into adjacent sports and casino. As Sam Zerfoss emphasized, the market is maturing. As Jeff Laniado reinforced, the leaders are not just acquiring more. They are personalizing smarter, orchestrating better, measuring incrementality, and acting in real time.
That is how to convert Week 1 excitement into sustained growth through the Super Bowl and beyond.
For more insights on player churn, contact us to request a demo.
Rob Wyse is Senior Director of Communications at Optimove.
As a communications consultant, he has been influential in changing public opinion and policy to drive market opportunity. Example issues he has worked on include climate change, healthcare reform, homeland security, cloud transformation, AI, and other timely issues.